Title: AI Research Engineer (Applied AI) Location: Continental United States Job Description: Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications. As we continue to grow, we’re looking for a skilled AI Research Engineer (Applied AI) to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: AI Research Engineer (Applied AI) Location: 100% Remote (Continental United States) Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Salary: $100K - $150K Experience: 6+ years Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for qualified candidates. Employment Type: Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party) Engagement: Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap Compensation: Competitive base salary commensurate with experience, plus benefits. Employment Terms & Visa Policy This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies. This role is part of Bright Vision Technologies’ in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies — there is no third-party client, vendor, or implementation partner involved. We do not engage in C2C, 1099, or third-party arrangements for this role. BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE. Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables. No new H1B sponsorship is available for this role. However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates. For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience. Job Summary We are seeking an AI Research Engineer to bridge cutting-edge applied research and production engineering, designing and shipping advanced machine learning systems that solve high-impact business problems. The role blends scientific rigor with practical software engineering, requiring deep understanding of modern ML and deep learning techniques alongside the ability to build robust, scalable, and well-instrumented production pipelines. The ideal candidate stays current with the rapidly evolving AI research landscape, can critically evaluate new techniques for real-world applicability, and is comfortable operating across the full lifecycle from problem framing and experimentation to deployment and continuous improvement. Key Responsibilities - Design, prototype, and evaluate applied AI solutions across natural language, vision, recommendation, and structured data domains. - Translate ambiguous business problems into well-scoped ML formulations with clear success metrics and evaluation strategies. - Stay current with the latest research in deep learning, large language models, and adjacent areas, and assess applicability to internal use cases. - Implement rigorous experimentation workflows including baselines, ablations, and statistically sound evaluation methodology. - Build production-quality training and inference pipelines using modern ML frameworks and orchestration tools. - Collaborate with ML platform engineers to ensure efficient use of compute, storage, and accelerator resources. - Optimize models for accuracy, latency, throughput, and cost based on production requirements. - Develop tooling for dataset construction, labeling, validation, and ongoing monitoring of data quality. - Partner with product, design, and domain experts to ensure model behavior aligns with user needs and policy requirements. - Implement safety, fairness, and reliability evaluations and incorporate findings into model selection decisions. - Document research findings, design decisions, and operational characteristics clearly for both technical and non-technical audiences. - Mentor engineers on applied ML methodology, evaluation rigor, and responsible deployment. - Contribute to internal knowledge sharing, reading groups, and prototype-to-production playbooks. - Influence the broader AI roadmap based on research insight, capability gaps, and emerging opportunities. Required Qualifications - Master’s or PhD in Computer Science, Machine Learning, Statistics, or a closely related field; or equivalent applied experience. - Six or more years of combined research and applied ML engineering experience. - Strong proficiency in Python and modern ML frameworks such as PyTorch or JAX. - Hands-on experience training, fine-tuning, and evaluating deep learning models at non-trivial scale. - Solid grounding in mathematics, statistics, and the theoretical foundations of modern ML. - Experience taking ML models from research prototype to production with appropriate observability and safeguards. - Familiarity with distributed training, mixed-precision training, and accelerator hardware. - Strong written and verbal communication skills, including ability to explain complex methods clearly. - Demonstrated ability to read, evaluate, and adapt techniques from current research literature. - Track record of shipping impactful applied AI projects. Preferred Qualifications - Published research at top-tier AI/ML venues. - Experience with large language model training, fine-tuning, or evaluation. - Familiarity with retrieval-augmented generation, agentic systems, or multimodal architectures. - Exposure to responsible AI, model evaluation, and alignment practices. - Experience contributing to open-source ML projects.

• Ingeniero de Innovación y Desarrollo, para integrarse a un gran equipo profesional, bajo la modalidad de teletrabajo.

About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people's lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja, the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company's products are sold at key retailers, online and offline, and through distributors around the world. AI at SharkNinja At SharkNinja, we're building an AI-native culture. We're not waiting for the future; we're creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what's possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn't been invented yet, you'll fit right in. Senior Applied Research Engineer - Needham, MA At SharkNinja, we build products that improve people's lives every day. Our engineers don't just design - they prototype, test, iterate, and watch their work land on shelves worldwide. We're looking for a Senior Applied Research Engineer to join our New Product Development team and help push the boundaries of what consumer products can do. What You'll Do - Lead hands-on design and development of consumer products from concept through launch and support - Work daily with cross-functional engineering and product teams to understand system performance and tradeoffs - Drive brainstorming sessions, build proof-of-concept prototypes, and run rigorous tests - Mentor mechanical engineers, co-ops, and interns - See your work come to life - in stores, online, and in homes around the world What You Bring - BS or MS in Mechanical Engineering with 5+ years of product design and development experience - Strong intuition for physics and engineering fundamentals - equally at home running an experiment as reviewing data - Proficiency in SolidWorks or CREO; comfort with Excel, Minitab, or MATLAB for data analysis - Hands-on prototyping skills: 3D printing, machining, hand tools, and clean assembly work - Experience designing and executing controlled experiments in a lab setting - Clear communicator who can translate technical findings for any audience Bonus Points - Background at a consumer product or consulting firm - Experience with electronics, sensors, motors, heaters, or PCBAs - Proven ability to juggle multiple projects without losing sight of long-term goals Why SharkNinja We're a voted Best Place to Work (Boston, 2022) with a culture built on curiosity, candor, and winning as a team. Benefits include DEI programs, 8 Affinity Groups, mentorship, Summer Half-Day Fridays, a free first SharkNinja product, and ongoing employee discounts. This is a full-time, in-person role at our Needham, MA office. Salary and Other Compensation: The annual salary range for this position is displayed below. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, flexible spending accounts, health savings accounts (HSA) with company contribution, 401(k) retirement plan with matching, employee stock purchase program, life insurance, AD&D, short-term disability insurance, long-term disability insurance, generous paid time off, company holidays, parental leave, identity theft protection, pet insurance, pre-paid legal insurance, back-up child and eldercare days, product discounts, referral bonus program, and more. Pay Range $85,000-$145,000 USD Our Culture At SharkNinja, we don't just raise the bar-we push past it every single day. Our Outrageously Extraordinary mindset drives us to tackle the impossible, push boundaries, and deliver results that others only dream of. If you thrive on breaking out of your swim lane, you'll be right at home. What We Offer We offer competitive health insurance, retirement plans, paid time off, employee stock purchase options, wellness programs, SharkNinja product discounts, and more. We empower your personal and professional growth with high impact Learning Programs featuring bold voices redefining what's possible. When you join, you're not just part of a company-you're part of an outrageously extraordinary community. Together, we won't just launch products-we'll disrupt entire markets. At SharkNinja, Diversity, Equity, and Inclusion are vital to our global success. Valuing each unique voice and blending all of our diverse skills strengthens SharkNinja's innovation every day. We support ALL associates in bringing their authentic selves to work, making an impact, and having the opportunity for career acceleration. With help from our leadership, associates, and our community, we aim to have equity be a key component of the SharkNinja DNA. Learn more about us: Life At SharkNinja Outrageously Extraordinary SharkNinja Candidate Privacy Notice - For candidates based in all regions, please refer to this Candidate Privacy Notice. - For candidates based in China, please refer to this Candidate Privacy Notice. - For candidates based in Vietnam, please refer to this Candidate Privacy Notice. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other class protected by legislation, and local law. SharkNinja will consider reasonable accommodations consistent with legislation, and local law. If you require a reasonable accommodation to participate in the job application or interview process, please contact SharkNinja People & Culture at accommodations@sharkninja.com

Role Description The Software Development Engineer in Test (SDET) is responsible for designing, developing, and maintaining automated test solutions and frameworks that support the quality and reliability of SmartRent products. This role builds and enhances scalable automation frameworks and integrates automated testing into CI pipelines to support continuous quality validation across platform and device functionality. The SDET works closely with developers and QA team members to: - Embed automation into the development lifecycle - Design and execute test strategies across functional, integration, API, and end-to-end testing - Perform code reviews to ensure automation quality and consistency This role also focuses on continuously improving testing processes and methodologies, evaluating and incorporating AI tools to shift automation earlier in the development process, and independently determining effective technical approaches to testing solutions. The SDET contributes to refining existing procedures and developing forward-looking testing models that support reliable, scalable product delivery. Qualifications - 3+ years of experience in test automation development using JavaScript or TypeScript, including hands-on experience with Playwright. - 3+ years of experience working with CI/CD tools (e.g., GitHub Actions, CircleCI) and version control systems (e.g., GitHub). - Experience with AI tools such as Claude Code and Cursor. - Solid understanding of QA tool development chains and environments. - Demonstrate expertise in black box and grey box testing methodologies, experience with standard QA and development tools, and the ability to operate within short release cycles. - Superior communication and analytical skills, including strong ability to identify and solve ambiguous problems. - Experience with Mobile automation with Appium. - Experience with project and test management tools (e.g. Jira/Zephyr). Requirements - Bachelor’s degree in Computer Science, Computer Engineering or equivalent. - Demonstrate expertise in black box and grey box testing methodologies, experience with standard QA and development tools, and the ability to operate within short release cycles. - Superior communication and analytical skills, including strong ability to identify and solve ambiguous problems. - Experience in manual testing. - Experience mentoring test team members. - Experience working in a cross-team environment (e.g. manual and automation testers). - Experience reporting progress and results to stakeholders. Benefits - Comprehensive and competitive benefits package designed to support well-being and future. - Medical, dental, vision, and life insurance with low deductibles and 75–100% employer contributions. - Flexible and generous PTO. - Competitive 401(k) with employer contributions. - Paid parental leave. - Discounted insurance plans for pets and legal services. - Employee stock purchase plan to help you invest in your future.